CN203629869U - Water turbine cavitation monitoring and analyzing system - Google Patents
Water turbine cavitation monitoring and analyzing system Download PDFInfo
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- CN203629869U CN203629869U CN201320844845.XU CN201320844845U CN203629869U CN 203629869 U CN203629869 U CN 203629869U CN 201320844845 U CN201320844845 U CN 201320844845U CN 203629869 U CN203629869 U CN 203629869U
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Abstract
The utility model relates to power system device monitoring, and specifically relates to a water turbine cavitation monitoring and analyzing system. The water turbine cavitation monitoring and analyzing system comprises a local measurement layer, a signal preprocessing layer, and a data processing and analyzing layer. The local measurement layer is composed of a vibration acceleration sensor and a sound emitting sensor. The vibration acceleration sensor is employed to pick up 4 to 20 kHz cavitation signals, and the sound emitting sensor is employed to pick up 20 to 200 kHz cavitation signals. The sensors are mounted in maintenance door areas of a guidevane connection rod crank arm sleeve cylinder, a supporting cover, or a tail water pipe, to which cavitation erosion is most likely to happen, in a waterwheel chamber of a water turbine. The signal preprocessing layer comprises an amplifier, an isolator, and a cavitation data collector. The data processing and analyzing layer comprises a computer. The vibration acceleration sensor and the sound emitting sensor are employed to detecting sound signals generated in water turbine cavitation, and the positions of the guidevane connection rod crank arm, the position of a lower ring, and the position of the tail water pipe which are good in cavitation monitoring effect are chosen for detection. The water turbine cavitation monitoring and analyzing system is high in sensitivity.
Description
technical field
The utility model relates to a kind of power system device monitoring, i.e. Turbine Cavitation Testing monitoring and analytic system.
Background technology
In the prior art, the hydraulic turbine is the key equipment in hydropower unit.In the time of hydraulic turbine generation cavitation, can produce the bubble that quantity does not wait, bubble can be crumbled and fall during to higher-pressure region along with water movement, produces high-frequency impulse ripple simultaneously, and radiation cavitation noise causes that pressure medium pulses, and brings out mechanical oscillatory structure.Cavitation and cavitation erosion is inevitable a kind of breakoff phenomenon in hydraulic turbine operation process, to cause one of principal element shortening in hydraulic turbine operation decrease in efficiency, structural failure and serviceable life, especially under the synergy of sand erosion, its destruction is stronger, can have a strong impact on stable operation of unit and efficiency, be the deciding factor of hydraulic turbine time between overhauls(TBO).The research of cavitation monitoring has become one of the difficult point in current Hydropower Unit status monitoring field and hot issue, has received scholar's very big concern in the industry.
Cavitation kenel in the hydraulic turbine vacillate type cavitation, fixed cavitation and swirl type cavitation.Conventionally the position occurring by cavitation is divided into following four classes: (1) blade profile (aerofoil profile) cavitation corrosion.(2) cavity cavitation corrosion.(3) clearance cavitation erosion.(4) cavitation corrosion that other local separation of flows cause.Above four kinds of cavitation corrosions, clearance cavitation erosion may cause that parts destroy, turbine efficiency is also had a certain impact, but the most common and harm is larger is aerofoil profile cavitation corrosion and cavity cavitation corrosion, they not only can damage Component of Hydraulic Turbines, and can make output of hydraulic turbine and decrease in efficiency, even cause judder and the irregular operation of unit.Generally speaking, the cavitation and cavitation erosion of Francis turbine is mainly aerofoil profile cavitation and cavitation erosion, and gap and local cavitation and cavitation erosion are less important; And Kaplan turbine is more with clearance cavitation.
From research in the past, in current Turbine Cavitation Testing cavitation corrosion monitoring system, vibration acceleration sensor and ultrasonic sensor are two large main flow sensors.But in the time of application, also come with some shortcomings, be mainly manifested in monitoring means frequency range single and test macro wide not.In research, often adopted the Sensor monitoring cavitation of single type, this monitoring pattern cannot meet its broadband properties in the past.
Utility model content
The purpose of this utility model is that a kind of Turbine Cavitation Testing monitoring and analytic system that is beneficial to hydraulic turbine repair based on condition of component is provided for above-mentioned deficiency.
Technical solution of the present utility model is: a kind of Turbine Cavitation Testing monitoring and analytic system, comprising:
Terrain is measured layer: be made up of vibration acceleration sensor and calibrate AE sensor.Adopt vibration acceleration sensor to pick up 4-20kHz cavitation signal, adopt calibrate AE sensor to pick up 20-200kHz cavitation signal.Guide vane link connecting lever sleeve, inner top cover or the draft tube access door region of installation of sensors in the hydraulic turbine water wheel chamber that cavitation and cavitation erosion the most easily occurs.
Signal Pretreatment layer: comprise amplifier, isolator, cavitation data acquisition unit.
Data processing and analysis layer: comprise computing machine.
Between each layer, connect by signal wire.System adopts the twisted-pair feeder of high shielding to transmit signal.
The monitoring of cavitation signal is exactly high-frequency impulse ripple, microjet and the HF noise signal causing thus, the pressure fluctuation of medium and the structural vibration of machinery producing when measuring cavity and crumbling and fall, from the signal of measuring, extract the eigenwert that characterizes cavitation, and set up the corresponding relation of cavitation eigenwert and cavitation intensity, variation by each eigenwert in monitoring measuring-signal judges generation and the development of cavitation, thereby reaches the object of monitoring cavitation.
Supercritical ultrasonics technology: supercritical ultrasonics technology is to utilize some features of the acoustic connection of supervening in Turbine Cavitation Testing process, and cavitation phenomenon and these acoustic features are connected, and verifies a kind of method of the inner link between them.Measuring Cavitation Characteristics by the method, is mainly the parameter of measurement and computational representation acoustic connection feature, most importantly this parameter of the sound intensity.Ultrasonic sensor uses piezoelectric transducer, has wider frequency response characteristic, and directional properties is good, disturbed by ground unrest few, in certain band limits, acoustic energy linear transformation can be become to voltage signal, is relatively applicable to the high fdrequency component of monitoring cavitation and cavitation erosion signal.In the more cavitation and cavitation erosion acoustical signal of high band of the monitoring hydraulic turbine, especially monitor the acoustical signal of cavitation inception, ultrasonic sensor is more reliable.
Vibration-testing method: when hydraulic turbine generation cavitation, not only can make unit operation Noise enhancement, also can cause the vibration of unit, therefore, test unit dither is also one of most important method of Turbine Cavitation Testing test.Moment that cavity is crumbled and fall can the very large high frequency machinery oscillatory surge power of radiation momentum, and this sound wave belongs to pulse feature, and therefore, the acceleration that adopts to a certain extent vibration acceleration instrumentation stroke power to produce is more suitable.Pick up cavitation vibration signal by acceleration transducer, collect computing machine by data acquisition system (DAS) again and carry out analyzing and processing, extract respectively the characteristic signal of time domain, frequency domain, again according to the attribute of these eigenwerts, can judge generation, development and the order of severity of the cavitation and cavitation erosion of the hydraulic turbine, also can estimate to a certain extent the degree of cavitation corrosion.Because vibration acceleration transmits by hydraulic turbine mechanism, therefore, the signal of testing by vibration acceleration sensor can reflect the truth of the cavitation of the hydraulic turbine substantially, and total trend is that cavitation and cavitation erosion is more serious, and measured vibration acceleration value is larger.Because induction frequencies scope and its sensitivity of vibration acceleration sensor are conflicts, often limit it in the more application of the cavitation and cavitation erosion signal testing of high band, therefore, vibration acceleration sensor is generally used for the test of the cavitation and cavitation erosion low-band signal of the hydraulic turbine at present, especially can listen the cavitation test of frequency range.In the actual test site of Turbine Cavitation Testing cavitation corrosion, guide vane arm sleeve, inner top cover or the lower water that vibration acceleration sensor directly can be installed to water wheel chamber is led etc. and to be located, but the signal of monitoring is owing to being subject to impact and the propagation loss of environmental factor herein, the availability of its signal and credibility must be affected, and need follow-up signal to process the actual signal that extracts cavitation.
Major function: 1, signal sampling, record and playback.2, cavitation condition in-service monitoring, understands unit cavitation performance, the variation of monitoring cavitation performance.3, analyze the variation of cavitation along with load.4, analyze the change curve of cavitation along with the time.
The utility model has the advantages that: 1, this device has adopted the cavitation monitoring technology based on vibration and the fusion of acoustic emission multidimensional, combine the advantage of vibration acceleration and calibrate AE sensor, adopt vibration acceleration and calibrate AE sensor to survey the acoustical signal producing when Turbine Cavitation Testing occurs, comprise heard sound signal and ultrasonic acoustic signal.Turbine Cavitation Testing monitoring and the analytic system of exploitation is applicable to the long-term on-line real time monitoring of Turbine Cavitation Testing state, by the cavitation noise atlas analysis under prototype different load, for prototype operation identification cavitation provides sample; According to Turbine Cavitation Testing acoustical signal frequency spectrum and cavitation sound signal intensity along with the variation characteristic of extent of cavitation is distinguished fault type and assessment cavitation fault degree; The region cavitation signal strength analysis that cavitation and cavitation erosion easily occurs according to multiple spot is judged fault generation area; And long-time running provides cavitation condition trend evaluation to unit, for the rational evaluation of prototype cavitation condition provides foundation.2, choose guide vanes of water turbine connecting lever, lower ring and three cavitations of draft tube and measure good position and detect, highly sensitive.
Below in conjunction with accompanying drawing, embodiment of the present utility model is described in further detail.
Accompanying drawing explanation
Fig. 1 is the utility model composition schematic diagram.
embodiment
Referring to Fig. 1, Turbine Cavitation Testing monitoring measures layer, Signal Pretreatment layer and data processing with analytic system by terrain and analysis layer three parts form.
Terrain is measured layer: be made up of vibration acceleration sensor and calibrate AE sensor.
Signal Pretreatment layer: comprise amplifier, isolator, cavitation data acquisition unit.
Data processing and analysis layer: comprise computing machine.
Between each layer, connect by signal wire.
Adopt vibration acceleration sensor to pick up 4-20kHz cavitation signal, adopt calibrate AE sensor to pick up 20-200kHz cavitation signal.
Terrain is measured layer: be made up of vibration acceleration and calibrate AE sensor.4-20kHz heard sound signal and 50-200kHz ultrasonic signal can accurately pick up cavitation generation time.Calibrate AE sensor is because its monitoring frequency spectrum is extremely wide, and directionality is good, penetration capacity is strong, meets the test request of the hyper band of cavitation sound signal, the especially monitoring to cavitation inception, and it has irreplaceable advantage.Because Turbine Cavitation Testing signal frequency is wider, existing supersonic range also has audible frequency range, and at the suitable high frequency position of audible frequency range, vibration acceleration sensor is applicable to the audible frequency range acoustical signal of monitoring cavitation very much.
Signal Pretreatment layer: formed by amplification, maintenance, connection terminal, transmission, isolation module, mould/number conversion and relevant peripheral hardware.The functions such as settling signal amplification, collection, mould/number conversion, rough handling and data upload.
Data processing and analysis layer: formed by industrial panel computer and software.Processing and stored data, analysis cavitation condition also generate various charts.
1, Choice of Sensors: adopt vibration acceleration to carry out Turbine Cavitation Testing on-line monitoring, accelerometer antijamming capability is strong, easy for installation, good to the frequency response characteristic of high frequency cavitation signal; And for the ultrasonic signal giving off in cavitation processes is monitored, can adopt calibrate AE sensor, this Sensor monitoring frequency band is wider, tens kHz～hundreds of kHz, this frequency range is difficult to be produced by low-frequency sound sources such as mechanical vibration, can be described as and mainly produced by cavitation, avoided the interference of ground unrest.This project has selected vibration acceleration and acoustic emission two class sensors to carry out cavitation on-Line Monitor Device.
In the case of the frequency range and reliability that consider sensor, project has been selected physical acoustics company of U.S. high-quality inlet sensor, and with the accuracy of the cavitation sound signal that guarantees to pick up, sensor major parameter is as follows.
2, sensor is arranged and is installed
Affect installation of sensors factor:
Cavitation source, according to the happening part of cavitation corrosion in the hydraulic turbine, is mainly divided into three types: aerofoil profile cavitation corrosion, clearance cavitation erosion and cavity cavitation corrosion.Aerofoil profile cavitation corrosion mainly occurs in the exit edge of blade back side; Clearance cavitation erosion mainly occurs in the gap in the gap between runner bucket and runner envelope and between blade and web, and the effect of clearance cavitation erosion can cause the lower surface of runner envelope, blade outer rim and blade flange and web part to be destroyed; Because unit departs from optimum operating condition operation, and produce asymmetric cavity eddy current at outlet of rotary wheel and draft tube porch, thereby cause cavity cavitation corrosion.In the axial-flow Kaplan hydraulic turbine, the cavitation corrosion aerofoil profile that occurs in clearance cavitation erosion between runner bucket and runner envelope and the blade outlet back side is the most serious, has become the important indicator of assessment Cavitation in Hydraulic Machinery degree.
The convenience of installation of sensors and reliability, reliability, convenience and harmless be the cardinal principle of installation of sensors, be the basis of realizing on-line monitoring; Due to hydroelectric power plant's high humidity, dust is many, and sensor easily makes moist and damages, therefore in installation of sensors process, and must be to its moisture resistant, be convenient to change etc. and consider fully.
The receiving angle of calibrate AE sensor, because high-frequency signal has stronger directivity, calibrate AE sensor has certain receiving angle, therefore, want cavitation signal effectively to monitor, cavitation corrosion generation area should be in effective range of receiving of calibrate AE sensor.
From the angle of signal transmission, the position that accelerometer riding position should occur depending on focusing on the cavitation of research, its principle is apart from the position of cavitation generation more better, and metal thickness minimum between accelerometer and sound source.
Installation of sensors position is selected, consider from calibrate AE sensor signal receiving angle, to occurring between runner bucket and runner envelope, cavitation condition between blade surface and runner bucket and web is monitored, the comparatively ideal position of sensor should be in the plane of inner top cover, can make so whole blade all in the monitoring range in sensor, and all the other positions are as web, cone pressed on ring etc. is located, in the time of operation, installation personnel can not enter safely (as being full of oil or water in space and narrow and small or housing), centre has larger clearance, signal attenuation seriously even can not directly capture cavitation signal.The corresponding volute inlet of+Y-direction inner top cover place, flow instability, and+end of the corresponding spiral case of directions X, current are relatively stable, and in order to study the impact of flow stability on cavitation, the relatively signal of two places monitoring, analyzes the similarities and differences of its HFS signal.Visible, unit inner top cover+X and+Y-direction placement sensor is more reasonable.
Inner top cover is made up of inclined-plane and upper plane, the cavitation signal that directly receive blade place is depended in sensor concrete installation site on inner top cover can, peaceful gulf hydraulic turbine structure, support cover upper planar surface to face blade cavitation corrosion region easily occurs, because selected calibrate AE sensor has certain acceptance angle, ideally, its monitoring range can cover the cavitation corrosion region of blade, makes the received cavitation signal of sensor comparatively desirable; In order to improve monitoring accuracy, an acceleration transducer is also installed in this position simultaneously.
For cavitation condition and the streamflow regime at unit movable guide vane place are monitored, need on the screw of guide vane sleeve end cap leaf, arrange vibration acceleration sensor and calibrate AE sensor.Should consider to be arranged on the stator that faces volute inlet, the positive angle of attack of current is than large.For the monitoring of cavitation condition and the cavitation level at the runner bucket back side, that sensor by being arranged on tail water door place is monitored, tail water door and blade outlet distance are very approaching, and ultrasonic signal is more intense, therefore on tail water door top, one calibrate AE sensor has also been installed.
3, sensor uses and connects
Calibrate AE sensor uses:
Probe mounting means, magnetic mode, needs special magnet.White face is installed surface,
Amplifier is laid, and position is near probe 2-3m, and this type of probe is connected to and adopts SINGLE with amplifier; Amplifier power supply :+24V, notes positive and negative can not lane instead, and core hole just connects.Amplifier output signal is 0-10V all the time.
4, vibration acceleration sensor is installed and used:
1) probe mounting means: mounting base, tapping, welding pedestal.
2) amplifier power supply for probe power supply, 10mA is selected in DC current power supply, and electric current is large, and the distance between probe and amplifier can be grown.
3) amplifier is laid: amplifier can be installed rack; Power supply: 24V;
4) amplifier wiring:
input:SENSOR(+)/SENSOR(-);
output：（+）OUT/（-）OUT;
POWER:(+)24VDC/(-)24VDC
5) amplifier output voltage be-no matter 5V ~+5V(is enlargement factor)
1X: output voltage-5V ~ 5V; Corresponding scope is 50g; 10X: be output as+-5V of amplifier, actual being output as of popping one's head in+-0.5v, measurement range is 5g, 100X actual measurement range is 0.5g.
5, Signal Pretreatment layer hardware system
(1) signal amplifier
1) the 2/4/6C amplifier of calibrate AE sensor
Calibrate AE sensor is output as mV signal, after need to amplifying by 2/4/6C amplifier, could access cavitation signal picker, and the output signal after amplification is 0-10V all the time.
The 2/4/6C amplifier of calibrate AE sensor uses configuration instruction:
A) riding position should be near probe 2-3m.
B) signal input part of amplifier is selected SINGLE.
C) amplifier power supply :+24V, notes positive and negative can not lane instead, and core hole just connects.
2) acceleration transducer 68ZA02 amplifier
Acceleration transducer is output as mV signal, need to pass through 68ZA02 amplifier, after amplification, could access cavitation signal picker, and the output signal after amplification is-5-5V all the time.
(2) isolation module
The duty parameter of system is from other system of power plant, for fear of the phase mutual interference between system, WS1521 tri-port process voltage isolation terminals are configured, setting up data communication by photoelectricity or magnetic induction connects, input, output and working power three isolate mutually, do not disturb, improve the stability of power plant system operation.
Important technological parameters and the installation requirement of WS1521 tri-port process voltage isolation terminals are as follows.
6, data acquisition unit
Because cavitation signal frequency is higher, native system has selected America NI company to have high-speed collection card NI 9222, the 16 bit synchronization analog input modules of high reliability, and single channel sampling rate is up to 500 kS/s, and concrete configuration sees the following form.
7, cavitation data analysis station
Cavitation data analysis station completes the functions such as reception, processing, warehouse-in and the analyzing and diagnosing of cavitation data.Analysis station is to the data analysis processing from data acquisition station receiving, extract characteristic parameter, obtain cavitation condition data, complete early warning and the warning of unit fault, do not losing the prerequisite lower compression data capacity of failure message, finally data loading is being supplied to further status monitoring analysis and diagnosis simultaneously.Data analysis station provides the multiple analytic functions such as FFT, spectrogram, trend analysis, correlation analysis and trend early warning to carry out comprehensive analyzing and processing to cavitation signal.
Cavitation analysis station adopts 15 cun of slim fan-frees of industrial panel computer AFL-15().
Major parameter is as follows:
Processor: Intel N270,1.6GHz.
Internal memory: 2G DDR2.
Hard disk: 500G HDD.
2 gigabit Ethernet mouths.
4 USB ports.
The configuration of cavitation analysis station software:
WIN7 operating system.
SQL 2000 database software.
Middle water science and technology cavitation database storage program.
Middle water science and technology cavitation monitoring analysis software.
Claims (2)
1. Turbine Cavitation Testing monitoring and an analytic system, is characterized in that comprising:
Terrain is measured layer: be made up of vibration acceleration sensor and calibrate AE sensor;
Signal Pretreatment layer: comprise amplifier, isolator, cavitation data acquisition unit;
Data processing and analysis layer: comprise computing machine;
Between each layer, connect by signal wire.
2. according to Turbine Cavitation Testing monitoring claimed in claim 1 and analytic system, it is characterized in that vibration acceleration sensor picks up 4-20kHz cavitation signal; Calibrate AE sensor picks up 20-200kHz cavitation signal.
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| CN201320844845.XU CN203629869U (en) | 2013-12-19 | 2013-12-19 | Water turbine cavitation monitoring and analyzing system |
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| CN201320844845.XU CN203629869U (en) | 2013-12-19 | 2013-12-19 | Water turbine cavitation monitoring and analyzing system |
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105134456A (en) * | 2015-07-29 | 2015-12-09 | 贵州电力试验研究院 | Water turbine fault prognosis method based on on-line monitoring |
| CN106443652A (en) * | 2016-10-26 | 2017-02-22 | 哈尔滨电机厂有限责任公司 | Method for measuring abnormal sound source in ball valve of water turbine |
| CN106769053A (en) * | 2016-12-07 | 2017-05-31 | 贵州电网有限责任公司电力科学研究院 | A kind of hydraulic turbine fault diagnosis system and method based on acoustic emission signal |
| CN108253185A (en) * | 2017-12-01 | 2018-07-06 | 浙江工业大学 | A kind of diagnostic device and method for control valve cavitation erosion |
| CN108895018A (en) * | 2018-04-20 | 2018-11-27 | 浙江理工大学 | A kind of device and method monitoring the development process of centrifugal blade cavitation |
| CN109342018A (en) * | 2018-12-14 | 2019-02-15 | 国家电网有限公司 | A kind of Turbine Cavitation Testing state monitoring method |
| CN109668723A (en) * | 2019-01-25 | 2019-04-23 | 浙江工业大学 | Regulating valve cavitation diagnostic system and its diagnostic method |
| CN110410336A (en) * | 2019-07-22 | 2019-11-05 | 西安因联信息科技有限公司 | A kind of pump cavitation state automatic identification method |
| CN111220702A (en) * | 2019-10-28 | 2020-06-02 | 大唐水电科学技术研究院有限公司 | Cavitation erosion monitoring and evaluating method for water turbine |
| CN111474243A (en) * | 2020-04-27 | 2020-07-31 | 上海化工研究院有限公司 | System for measuring slurry concentration in slurry loop reactor |
| DE102019121978A1 (en) * | 2019-08-15 | 2021-02-18 | Voith Patent Gmbh | Method for determining the degree of damage caused by cavitation in a hydropower plant |
| CN112432749A (en) * | 2020-10-16 | 2021-03-02 | 西安理工大学 | Relevance test analysis method for water turbine runner vibration and pressure pulsation |
| CN112729836A (en) * | 2020-11-30 | 2021-04-30 | 华电电力科学研究院有限公司 | Cycle improved water turbine cavitation initial state judging system and method thereof |
| CN114235966A (en) * | 2021-12-22 | 2022-03-25 | 广西大学 | Ultrasonic cavitation device for monitoring metal cavitation erosion process in real time by adopting acoustic emission |
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2013
- 2013-12-19 CN CN201320844845.XU patent/CN203629869U/en not_active Expired - Fee Related
Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105134456A (en) * | 2015-07-29 | 2015-12-09 | 贵州电力试验研究院 | Water turbine fault prognosis method based on on-line monitoring |
| CN105134456B (en) * | 2015-07-29 | 2018-05-18 | 贵州电力试验研究院 | Hydraulic turbine fault pre-diagnosing method based on on-line monitoring |
| CN106443652A (en) * | 2016-10-26 | 2017-02-22 | 哈尔滨电机厂有限责任公司 | Method for measuring abnormal sound source in ball valve of water turbine |
| CN106769053A (en) * | 2016-12-07 | 2017-05-31 | 贵州电网有限责任公司电力科学研究院 | A kind of hydraulic turbine fault diagnosis system and method based on acoustic emission signal |
| CN108253185A (en) * | 2017-12-01 | 2018-07-06 | 浙江工业大学 | A kind of diagnostic device and method for control valve cavitation erosion |
| CN108895018A (en) * | 2018-04-20 | 2018-11-27 | 浙江理工大学 | A kind of device and method monitoring the development process of centrifugal blade cavitation |
| CN109342018A (en) * | 2018-12-14 | 2019-02-15 | 国家电网有限公司 | A kind of Turbine Cavitation Testing state monitoring method |
| CN109668723A (en) * | 2019-01-25 | 2019-04-23 | 浙江工业大学 | Regulating valve cavitation diagnostic system and its diagnostic method |
| CN109668723B (en) * | 2019-01-25 | 2020-11-10 | 浙江工业大学 | Regulating valve cavitation diagnosis system and diagnosis method thereof |
| CN110410336A (en) * | 2019-07-22 | 2019-11-05 | 西安因联信息科技有限公司 | A kind of pump cavitation state automatic identification method |
| CN110410336B (en) * | 2019-07-22 | 2021-02-02 | 西安因联信息科技有限公司 | Automatic pump cavitation state identification method |
| DE102019121978A1 (en) * | 2019-08-15 | 2021-02-18 | Voith Patent Gmbh | Method for determining the degree of damage caused by cavitation in a hydropower plant |
| CN111220702A (en) * | 2019-10-28 | 2020-06-02 | 大唐水电科学技术研究院有限公司 | Cavitation erosion monitoring and evaluating method for water turbine |
| CN111474243A (en) * | 2020-04-27 | 2020-07-31 | 上海化工研究院有限公司 | System for measuring slurry concentration in slurry loop reactor |
| CN111474243B (en) * | 2020-04-27 | 2023-11-07 | 上海化工研究院有限公司 | Slurry concentration measuring system in slurry loop reactor |
| CN112432749A (en) * | 2020-10-16 | 2021-03-02 | 西安理工大学 | Relevance test analysis method for water turbine runner vibration and pressure pulsation |
| CN112432749B (en) * | 2020-10-16 | 2023-05-16 | 西安理工大学 | Correlation test analysis method for turbine runner vibration and pressure pulsation |
| CN112729836A (en) * | 2020-11-30 | 2021-04-30 | 华电电力科学研究院有限公司 | Cycle improved water turbine cavitation initial state judging system and method thereof |
| CN112729836B (en) * | 2020-11-30 | 2023-03-21 | 华电电力科学研究院有限公司 | Cycle improved water turbine cavitation initial state judging system and method thereof |
| CN114235966A (en) * | 2021-12-22 | 2022-03-25 | 广西大学 | Ultrasonic cavitation device for monitoring metal cavitation erosion process in real time by adopting acoustic emission |
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